Principal Component Regression for Crop Yield Estimation (Record no. 54478)
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000 -LEADER | |
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fixed length control field | 03368nam a22006135i 4500 |
001 - CONTROL NUMBER | |
control field | 978-981-10-0663-0 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421111652.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 160321s2016 si | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9789811006630 |
-- | 978-981-10-0663-0 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 519 |
100 1# - AUTHOR NAME | |
Author | Suryanarayana, T.M.V. |
245 10 - TITLE STATEMENT | |
Title | Principal Component Regression for Crop Yield Estimation |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2016. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVII, 67 p. 12 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | SpringerBriefs in Applied Sciences and Technology, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Principal Component Analysis In Transfer Function -- Review of Litrrature -- Study Area and Data Collection -- Methodology -- Conclusions. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book highlights the estimation of crop yield in Central Gujarat, especially with regard to the development of Multiple Regression Models and Principal Component Regression (PCR) models using climatological parameters as independent variables and crop yield as a dependent variable. It subsequently compares the multiple linear regression (MLR) and PCR results, and discusses the significance of PCR for crop yield estimation. In this context, the book also covers Principal Component Analysis (PCA), a statistical procedure used to reduce a number of correlated variables into a smaller number of uncorrelated variables called principal components (PC). This book will be helpful to the students and researchers, starting their works on climate and agriculture, mainly focussing on estimation models. The flow of chapters takes the readers in a smooth path, in understanding climate and weather and impact of climate change, and gradually proceeds towards downscaling techniques and then finally towards development of principal component regression models and applying the same for the crop yield estimation. |
700 1# - AUTHOR 2 | |
Author 2 | Mistry, P. B. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-981-10-0663-0 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Singapore : |
-- | Springer Singapore : |
-- | Imprint: Springer, |
-- | 2016. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Environmental management. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Climate change. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Agriculture. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Statistics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Applied mathematics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering mathematics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Environmental sciences. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Appl.Mathematics/Computational Methods of Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Climate Change/Climate Change Impacts. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Statistical Theory and Methods. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Math. Appl. in Environmental Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Agriculture. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Water Policy/Water Governance/Water Management. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2191-530X |
912 ## - | |
-- | ZDB-2-ENG |
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